Fix the grammar and spelling in agentchat_human_feedback.ipynb (microsoft#354)

Co-authored-by: Chi Wang <[email protected]>

Author: shruti222patel

notebook/agentchat_human_feedback.ipynb

@@ -19,7 +19,7 @@
    "source": [
     "# Auto Generated Agent Chat: Task Solving with Code Generation, Execution, Debugging & Human Feedback\n",
     "\n",
-    "AutoGen offers conversable agents powered by LLM, tool or human, which can be used to perform tasks collectively via automated chat. This framework allows tool use and human participation through multi-agent conversation.\n",
+    "AutoGen offers conversable agents powered by LLM, tool, or human, which can be used to perform tasks collectively via automated chat. This framework allows tool use and human participation through multi-agent conversation.\n",
     "Please find documentation about this feature [here](https://microsoft.github.io/autogen/docs/Use-Cases/agent_chat).\n",
     "\n",
     "In this notebook, we demonstrate how to use `AssistantAgent` and `UserProxyAgent` to solve a challenging math problem with human feedback. Here `AssistantAgent` is an LLM-based agent that can write Python code (in a Python coding block) for a user to execute for a given task. `UserProxyAgent` is an agent which serves as a proxy for a user to execute the code written by `AssistantAgent`. By setting `human_input_mode` properly, the `UserProxyAgent` can also prompt the user for feedback to `AssistantAgent`. For example, when `human_input_mode` is set to \"ALWAYS\", the `UserProxyAgent` will always prompt the user for feedback. When user feedback is provided, the `UserProxyAgent` will directly pass the feedback to `AssistantAgent`. When no user feedback is provided, the `UserProxyAgent` will execute the code written by `AssistantAgent` and return the execution results (success or failure and corresponding outputs) to `AssistantAgent`.\n",
@@ -118,7 +118,7 @@
     "]\n",
     "```\n",
     "\n",
-    "If you open this notebook in colab, you can upload your files by clicking the file icon on the left panel and then choose \"upload file\" icon.\n",
+    "If you open this notebook in colab, you can upload your files by clicking the file icon on the left panel and then choosing \"upload file\" icon.\n",
     "\n",
     "You can set the value of config_list in other ways you prefer, e.g., loading from a YAML file."
    ]
@@ -165,7 +165,7 @@
    "source": [
     "## Perform a task\n",
     "\n",
-    "We invoke the `initiate_chat()` method of the user proxy agent to start the conversation. When you run the cell below, you will be prompted to provide feedback after receving a message from the assistant agent. If you don't provide any feedback (by pressing Enter directly), the user proxy agent will try to execute the code suggested by the assistant agent on behalf of you, or terminate if the assistant agent sends a \"TERMINATE\" signal in the end of the message."
+    "We invoke the `initiate_chat()` method of the user proxy agent to start the conversation. When you run the cell below, you will be prompted to provide feedback after receiving a message from the assistant agent. If you don't provide any feedback (by pressing Enter directly), the user proxy agent will try to execute the code suggested by the assistant agent on behalf of you, or terminate if the assistant agent sends a \"TERMINATE\" signal at the end of the message."
    ]
   },
   {
@@ -370,9 +370,9 @@
    "source": [
     "## Analyze the conversation\n",
     "\n",
-    "The human user can provide feedback at each step. When the human user didn't provide feedback, the code was executed. The executed results and error messages are returned to the assistant, and the assistant was able to modify the code based on the feedback. In the end, the task is complete and a \"TERMINATE\" signal is sent from the assistant. The user skipped feedback in the end and the conversation is finished.\n",
+    "The human user can provide feedback at each step. When the human user didn't provide feedback, the code was executed. The executed results and error messages are returned to the assistant, and the assistant is able to modify the code based on the feedback. In the end, the task is complete and a \"TERMINATE\" signal is sent from the assistant. The user skipped feedback in the end and the conversation is finished.\n",
     "\n",
-    "After the conversation is finished, we can save the log of the conversation between the two agents. The log can be accessed from `autogen.ChatCompletion.logged_history`."
+    "After the conversation is finished, we can save the conversation log between the two agents. The log can be accessed from `autogen.ChatCompletion.logged_history`."
    ]
   },
   {